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Assistant Professor of Electrical Engineering
BioGordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab, an interdisciplinary research group focused on advancing imaging, microscopy, and display systems. At the intersection of computer graphics, machine vision, optics, scientific computing, and perception, Prof. Wetzstein's research has a wide range of applications in next-generation consumer electronics, scientific imaging, human-computer interaction, remote sensing, and many other areas. Prior to joining Stanford in 2014, Prof. Wetzstein was a Research Scientist in the Camera Culture Group at the MIT Media Lab. He received a Ph.D. in Computer Science from the University of British Columbia in 2011 and graduated with Honors from the Bauhaus in Weimar, Germany before that. His doctoral dissertation focuses on computational light modulation for image acquisition and display and won the Alain Fournier Ph.D. Dissertation Annual Award. He organized the IEEE 2012 and 2013 International Workshops on Computational Cameras and Displays as well as the 2017 Int. Conference on Computational Photography, founded displayblocks.org as a forum for sharing computational display design instructions with the DIY community, and presented a number of courses on Computational Displays and Computational Photography at ACM SIGGRAPH. Gordon is the recipient of an NSF CAREER award, he won best paper awards at the International Conference on Computational Photography (ICCP) in 2011 and 2014 as well as a Laval Virtual Award in 2005.
Professor of Medicine (Immunology and Rheumatology)
Current Research and Scholarly InterestsTelomere biology and genomic stress in autoimmunity and inflammation
Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsProf. Widrow's research focuses on adaptive signal processing, adaptive control systems, adaptive neural networks, human memory, and human-like memory for computers. Applications include signal processing, prediction, noise cancelling, adaptive arrays, control systems, and pattern recognition. Recent work is about human learning at the synaptic level.
Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator)
Current Research and Scholarly InterestsA revolution is under way in psychiatry. We can now understand mental illness as an expression of underlying brain circuit disruptions, shaped by experience and genetics. Our lab is defining precision brain circuit types for depression, anxiety and attention deficit. We apply computational models to large amounts of brain imaging, behavior and other data. These precision brain types inform our translational intervention studies. To close the loop, field ready insights are applied in practice.
Professor of Pediatrics (Endocrinology) at the Lucile Salter Packard Children's Hospital
Current Research and Scholarly InterestsMy research interests cover a number of areas in Pediatric Endocrinology and Diabetes. I am PI of the Stanford Center for the NIH-funded Type-1 Diabetes TrialNet group. TrialNet conducts clinical trials directed at preventing or delaying the onset of Type 1 diabetes. I am an investigator in DirecNet, another NIH-funded study group, which is devoted to evaluating glucose sensors and the role of technology on the management of diabetes.
Professor of Computer Science, Emeritus
BioProfessor Winograd's focus is on human-computer interaction design and the design of technologies for development. He directs the teaching programs and HCI research in the Stanford Human-Computer Interaction Group, which recently celebrated it's 20th anniversary. He is also a founding faculty member of the Hasso Plattner Institute of Design at Stanford (the "d.school") and on the faculty of the Center on Democracy, Development, and the Rule of Law (CDDRL)
Winograd was a founding member and past president of Computer Professionals for Social Responsibility. He is on a number of journal editorial boards, including Human Computer Interaction, ACM Transactions on Computer Human Interaction, and Informatica. He has advised a number of companies started by his students, including Google. In 2011 he received the ACM SIGCHI Lifetime Research Award.
Associate Professor of Genetics and of Pathology
Current Research and Scholarly InterestsOur laboratory uses genome-wide methods to uncover alterations that drive cancer progression and metastasis in genetically-engineered mouse models of human cancers. We combine cell-culture based mechanistic studies with our ability to alter pathways of interest during tumor progression in vivo to better understand each step of metastatic spread and to uncover the therapeutic vulnerabilities of advanced cancer cells.
Professor of Radiology (Neuroimaging and Neurointervention) and, by courtesy, of Neurology, of Neurosurgery and of Psychiatry and Behavioral Sciences at the Stanford University Medical Center
Current Research and Scholarly InterestsStroke, cerebrovascular diseases, cardiovascular diseases, carotid arteries, coronary arteries
Stroke diagnosis, stroke triage, stroke treatment
Traumatic brain injury
Traumatic brain injury diagnosis and prognosis
Psychiatric disorders, including depression and post-traumatic stress disorders
Movement disorders, including essential tremor and Parkinson’s tremor
Image-guided clinical trials
CT, multidetector-row CT, perfusion-CT, CT angiography
MRI, diffusion-weighted MRI, perfusion-weighted MRI, diffusion tensor imaging, functional MRI
Brain perfusion imaging techniques
Post-processing techniques of medical images, signal and image processing
MR-guided focused ultrasound
H.-S. Philip Wong
Willard R. and Inez Kerr Bell Professor in the School of Engineering
BioWong joined Stanford in 2004 after 16 years at IBM Research, with appointments as research staff member, Manager, and Senior Manager. While at IBM, he was responsible for shaping and executing IBM's strategy on nanoscale science and technology and silicon technology. His interests are in the area of nanoscale science and technology, semiconductor technology, solid-state devices, and electronic imaging.
His present research covers a broad range of topics including carbon electronics, 2D layered materials, wireless implantable biosensors, directed self-assembly, nanoelectromechanical relays, device modeling, brain-inspired computing, and non-volatile memory devices such as phase change memory and metal oxide resistance change memory.
S Simon Wong
Professor of Electrical Engineering
Current Research and Scholarly InterestsCurrent research focuses on
Resistive Random Access Memory (RRAM) and Integration with CMOS
Student : Yu-Chung Lien
Design of 3D Memory and 3D Programmable Logic
Students : Kibum Lee
Energy Efficient Approximate Computing for Machine Learning
Student : Edward Lee